Required Qualifications: Education: Working towards a PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Robotics, Applied Mathematics / Statistics / Physics (with relevant ML and sensor-data experience), or a related fields with a focus on machine learning, wearable sensing, or human motion analysis. Reconstructing full-body human motion from a handful of noisy, drifting wearable sensors is a challenging machine learning problem, drawing on time-series modeling, multi-modal sensor fusion, human pose estimation, and biomechanics.